A dynamic single-stage multi-item inventory control model

被引：0

作者：

Ould-Louly, MA ^{[1
]}

Dolgui, A ^{[1
]}

机构：

[1] Univ Technol Troyes, Ind Syst Optimizat Lab, F-10010 Troyes, France

来源：

LARGE SCALE SYSTEMS: THEORY AND APPLICATIONS 2001 (LSS'01) | 2001年

关键词：

supply planning; inventory control; Markov chains; optimization; branch and bound algorithm; lower bound; dominance properties;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We study assembly systems with one type of finished products and several types of components. The lead times of components are random variables, and the customer demand of finished product is constant. We proposed a Markov chain that enables the determination of system performance measures, and we show how to exploit this model for optimization. Our aim is to minimize the average holding cost for the components while keeping a given service level for customer demands. In this paper we propose lower bounds and dominance properties of goal function. These results can be used in a branch and bound algorithm. Copyright(C) 2001IFAC.

引用

页码：73 / 78

页数：6

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